Deep Learning Specialization

Autonomous Systems & Medical Intelligence

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Phase 1

Fundamentals

1

What is deep learning?

Free

Defining AI, Machine Learning, and the Power of Depth

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2

Mathematics behind the Neural Network

Free

Tensors, Hardware Acceleration, and the Engine of Optimization

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3

Understanding the Tools

Free

Keras 3, Multi-Backend Power, and the Rise of JAX

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Phase 2

Working with Data

4

Classification & Regression Mastery

Free

Loss Functions, Metrics, and Probability Calibration

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Phase 1

Fundamentals

5

Machine Learning Fundamentals

Free

Generalization, Evaluation, and Optimization

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Phase 2

Working with Data

6

The Universal Workflow of Machine Learning

Free

From Problem Definition to Production MLOps

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Phase 1

Fundamentals

7

Understanding Keras

Free

Technical Mastery: Building, Training, and Introspection

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Phase 2

Computer Vision

8

Computer Vision with ConvNets

Free

Architectural Mastery and Real-time Spatial Intelligence

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9

Time Series & Recurrent Neural Networks

Free

LSTMs, GRUs, and Temporal Sequence Deep Study

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10

NLP & Transformers

Free

From Tokens to Self-Attention and Generative AI

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